- 500 pages
- English
- PDF
- Only available on web
Applied Statistical Methods
About This Book
Applied Statistical Methods covers the fundamental understanding of statistical methods necessary to deal with a wide variety of practical problems. This 14-chapter text presents the topics covered in a manner that stresses clarity of understanding, interpretation, and method of application. The introductory chapter illustrates the importance of statistical analysis. The next chapters introduce the methods of data summarization, including frequency distributions, cumulative frequency distributions, and measures of central tendency and variability. These topics are followed by discussions of the fundamental principles of probability, the concepts of sample spaces, outcomes, events, probability, independence of events, and the characterization of discrete and continuous random variables. Other chapters explore the distribution of several important statistics; statistical tests of hypotheses; point and interval estimation; and simple linear regression. The concluding chapters review the elements of single- and two-factor analysis of variance and the design of analysis of variance experiments. This book is intended primarily for advanced undergraduate and graduate students in the mathematical, physical, and engineering sciences, as well as in economics, business, and related areas. Researchers and line personnel in industry and government will find this book useful in self-study.
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Table of contents
- Front Cover
- Applied Statistical Methods
- Copyright Page
- Table of Contents
- Preface
- Acknowledgments
- Chapter 1. Introduction
- Chapter 2. The Frequency Distribution â A Tool and a Concept
- Chapter 3. Summarization of Data by Objective Measures
- Chapter 4. Some Elementary Probability
- Chapter 5. Some Discrete Probability Distributions
- Chapter 6. Some Continuous Probability Distributions
- Chapter 7. Some Sampling Distributions
- Chapter 8. Statistical Tests of HypothesesâGeneral and One Sample
- Chapter 9. Significance Testsâ Two Samples
- Chapter 10. Estimation of Population Characteristics
- Chapter 11. Simple Regression
- Chapter 12. Simple Analysis of Variance
- Chapter 13. Multiple Regression
- Chapter 14. Goodness of Fit Tests, Contingency Tables
- Appendix
- Answers to Odd-Numbered Problems
- Index